hEnSC Exosome Data for Diabetic Foot Ulcer Healing via DLL4-NOTCH4 Signaling

A 24.5 MB dataset from figshare, last updated on 2026-04-27, authored by Zhuolin Li. The dataset likely contains experimental data related to diabetic foot ulcer pathogenesis and therapeutic approaches. It includes files in formats such as JPG, XLSX, TIF, DOCX, and CSV, suggesting a mix of tabular data and images.

Use Cases

• Analyze the role of DLL4-NOTCH4 signaling in diabetic foot ulcer pathogenesis based on the described key pathogenic mechanism.
• Investigate the functional impairment of M2 macrophages in wound healing contexts as mentioned in the description.
• Model the dual therapeutic potential of hEnSC-derived exosomes based on their described capacity to attenuate DLL4-NOTCH4 signaling and augment VEGFA-mediated communication.
• Study angiogenesis facilitation in diabetic wounds using the described exosome-mediated communication between macrophages and endothelial cells.

Strengths

• Dataset is 24.5 MB in size, indicating a manageable download and analysis scope.
• Includes multiple file formats (JPG, XLSX, TIF, DOCX, CSV), suggesting diverse data types such as images and spreadsheets.
• Released under a CC-BY-4.0 license, permitting broad reuse with attribution.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, author Zhuolin Li.

Collection Method

Likely contains experimental research data from a study on diabetic foot ulcer healing.

Time Range

null

Freshness

Last updated 2026-04-27 02:38:24; freshness should be verified.

Geography

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